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Adjusting the Sequence of Training Data Can Make Large Models Smarter! No Need to Expand ...

In this regard, Microsoft Research Asia has proposed a novel paradigm for organizing text data called DELT (Data Efficacy in ...

Adjusting the Order of Training Data Can Make Large Models Smarter! No Need to Expand Model ...

In this regard, Microsoft Research Asia has proposed a novel text data organization paradigm called DELT (Data Efficacy in LM ...
IEEE6 天

Data complexity measures in feature selection - IEEE Xplore

Feature selection (FS) is a pre-processing step often mandatory in data analysis by Machine Learning techniques. Its objective is to reduce data dimensionality by identifying and maintaining only the ...